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Online courses with on-demand videos
1. Introduction to R using a protocol for conducting and presenting results of regression-type analyses
2. Data Exploration, Regression, GLM & GAM with introduction to R
3. Introduction to Linear Mixed Effects Models and GLMM with R (frequentist)
4. Introduction to GAM and GAMM using frequentist tools
5. Introduction to Zero-Inflated GLMs and GLMMs using frequentist tools
6. Introduction to GLLVM. With spatial and temporal dependency.
7: Time series analysis using regression techniques
8. Bayesian Time Series Analysis. GAMs, random walks, and hierarchical time series in inlabru
9. Regression models with spatial or spatial-temporal correlation using R-INLA
10. GLMs and GAMs with Spatial, Temporal, or Spatial-Temporal Correlation using INLA
11. Zero-inflated GAMs and GAMMs for the analysis of spatial and spatial-temporal correlated data using R-INLA
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